library(data.table)

library(sandwich)
library(lmtest)

library(AER) 
library(dplyr)


library(ggplot2) 
library(patchwork)
#Read in the data
d <- fread('joined_results_2nd_run.tsv')


head(d)
names(d)
 [1] "V1"                      "id"                      "question"                "sexual_orientation"      "age"                     "marital_status"          "demographic_race"        "gender"                  "ethnicity"               "residency_type"          "education"               "RE_job"                 
[13] "ownership"               "treatment"               "property_chosen"         "abs_value_diff"          "value_diff"              "p_id"                    "Index"                   "question_treatment"      "question_control"        "population_density"      "walk_score"              "median_household_income"
[25] "median_age"              "nb_race"                 "median_rooms_rounded"    "bedrooms"                "bathrooms"               "sq_ft"                   "year_built"              "housing_density"         "median_male_age"         "pct_white"               "school_districts"        "pct_lt_hs_grad"         
[37] "median_rooms"            "pct_hs_grad"             "pct_at_least_col_grad"   "GEOID"                   "state"                   "tract"                   "NAME"                    "ALAND"                   "ALAND_SQMI"              "county"                  "Pair_ID"                 "INTPTLAT"               
[49] "INTPTLONG"               "iframe"                  "Racial majority detail" 
#Filter to where user input property == potential response Property
d_filtered = d
d_filtered
#For every row, create a column that is the value difference of white to non white
#i.e. If race==white of response, abs_value_diff, else use -abs_value_diff

#Using data.table fifelse
d_filtered[abs_value_diff==0,abs_value_diff := 0.5]
d_filtered[ , white_value_diff := fifelse(nb_race=="white", abs_value_diff, -abs_value_diff)]

d_filtered[ ,log_abs_diff := log(abs_value_diff)]
d_filtered[, log_white_diff := fifelse(nb_race=="white", log_abs_diff, -log_abs_diff)]


#Create a column with 0/1 if neighborhood is white
d_filtered[ , nb_is_white := fifelse(nb_race=="white", 1, 0)]
#Create a variable for whether street view contained a person

d_filtered[ , street_view_person := rep(0, .N)]

#Change Property 1 & 3s to 1
d_filtered[ (property_chosen == "Property 1") & (question == "3s") , street_view_person := 1] 

#Change both Properties of 10s to 1
d_filtered[  (question == "10s") , street_view_person := 1] 

#Change property 2 of 11s to 1
d_filtered[  (property_chosen == "Property 2") &(question == "11s") , street_view_person := 1] 

#Change property 1 of 13s to 1
d_filtered[  (property_chosen == "Property 1") &(question == "13s") , street_view_person := 1] 

#Change property 2 of 14s to 1
d_filtered[  (property_chosen == "Property 2") &(question == "14s") , street_view_person := 1] 

#Change property 1&2 of 18s to 1
d_filtered[  (question == "18s") , street_view_person := 1] 

#Change property 1 of 20s to 1
d_filtered[  (property_chosen == "Property 1") &(question == "20s") , street_view_person := 1] 

#Change property 1 of 25s to 1
d_filtered[  (property_chosen == "Property 1") &(question == "25s") , street_view_person := 1] 


d_filtered
ggplot(data =d_filtered[ treatment==0, ], aes(d_filtered[ treatment==0, white_value_diff])) + geom_histogram()

ggplot(data =d_filtered[ treatment==1, ], aes(d_filtered[ treatment==1, white_value_diff])) + geom_histogram()

fwrite(d_filtered, "filtered_data_2.csv")
df = data.table::fread("filtered_data_2.csv")
df
names(df)
 [1] "V1"                      "id"                      "question"                "sexual_orientation"      "age"                     "marital_status"          "demographic_race"        "gender"                  "ethnicity"               "residency_type"          "education"               "RE_job"                 
[13] "ownership"               "treatment"               "property_chosen"         "abs_value_diff"          "value_diff"              "p_id"                    "Index"                   "question_treatment"      "question_control"        "population_density"      "walk_score"              "median_household_income"
[25] "median_age"              "nb_race"                 "median_rooms_rounded"    "bedrooms"                "bathrooms"               "sq_ft"                   "year_built"              "housing_density"         "median_male_age"         "pct_white"               "school_districts"        "pct_lt_hs_grad"         
[37] "median_rooms"            "pct_hs_grad"             "pct_at_least_col_grad"   "GEOID"                   "state"                   "tract"                   "NAME"                    "ALAND"                   "ALAND_SQMI"              "county"                  "Pair_ID"                 "INTPTLAT"               
[49] "INTPTLONG"               "iframe"                  "Racial majority detail"  "white_value_diff"        "log_abs_diff"            "log_white_diff"          "nb_is_white"             "street_view_person"     
typeof(df)
[1] "list"
#Some attempts at writing a model


#For each question, we want the difference in counts of properties selected by is_white
new_df = df[ , .(count=.N), keyby=.(question, nb_is_white, treatment) ]
new_df


#We want to predict the difference of the counts of the is_white or not properties for each question
new_df[ , is_white_count:= diff(count, lag=1), keyby = .(question, treatment)]
new_df

model = new_df[ , lm(is_white_count ~ treatment)]

coeftest(model,  vcov = vcovCL(model, cluster = new_df[ , question]))

t test of coefficients:

            Estimate Std. Error t value Pr(>|t|)
(Intercept)   2.0000     5.6427  0.3544   0.7248
treatment     8.5455     8.7030  0.9819   0.3318
prop_white_model = df[, lm(nb_is_white ~ treatment + as.factor(id))]
coeftest(prop_white_model,  vcov = vcovCL(prop_white_model, cluster = df[ , as.factor(id)]))

t test of coefficients:

                    Estimate  Std. Error     t value Pr(>|t|)    
(Intercept)       6.3636e-01  3.4670e-15  1.8355e+14  < 2e-16 ***
treatment        -1.8182e-01  1.7877e-14 -1.0171e+13  < 2e-16 ***
as.factor(id)73   1.8182e-01  1.7537e-14  1.0368e+13  < 2e-16 ***
as.factor(id)74   9.0909e-02  1.9288e-14  4.7133e+12  < 2e-16 ***
as.factor(id)77  -3.7013e-15  3.5724e-15 -1.0361e+00  0.30042    
as.factor(id)78  -2.0553e-14  1.7908e-14 -1.1477e+00  0.25137    
as.factor(id)79   2.2932e-15  3.5353e-15  6.4870e-01  0.51670    
as.factor(id)80  -9.0909e-02  3.4749e-15 -2.6162e+13  < 2e-16 ***
as.factor(id)81   1.8182e-01  1.8440e-14  9.8598e+12  < 2e-16 ***
as.factor(id)82   2.7273e-01  1.7565e-14  1.5527e+13  < 2e-16 ***
as.factor(id)83   9.0909e-02  3.4827e-15  2.6103e+13  < 2e-16 ***
as.factor(id)84  -1.8182e-01  3.4687e-15 -5.2417e+13  < 2e-16 ***
as.factor(id)85  -5.3879e-15  3.4917e-15 -1.5430e+00  0.12315    
as.factor(id)86  -9.0909e-02  3.4717e-15 -2.6185e+13  < 2e-16 ***
as.factor(id)87   9.0909e-02  1.7992e-14  5.0527e+12  < 2e-16 ***
as.factor(id)88   1.8182e-01  1.7552e-14  1.0359e+13  < 2e-16 ***
as.factor(id)89   1.8182e-01  1.7552e-14  1.0359e+13  < 2e-16 ***
as.factor(id)90   1.8182e-01  3.4785e-15  5.2270e+13  < 2e-16 ***
as.factor(id)91   9.0909e-02  3.4670e-15  2.6221e+13  < 2e-16 ***
as.factor(id)92   2.7273e-01  1.7817e-14  1.5307e+13  < 2e-16 ***
as.factor(id)93   9.0909e-02  3.4817e-15  2.6111e+13  < 2e-16 ***
as.factor(id)94   2.7273e-01  1.7538e-14  1.5551e+13  < 2e-16 ***
as.factor(id)95  -2.7273e-01  3.6024e-15 -7.5706e+13  < 2e-16 ***
as.factor(id)96   9.0909e-02  3.4735e-15  2.6172e+13  < 2e-16 ***
as.factor(id)97   2.7273e-01  1.7548e-14  1.5541e+13  < 2e-16 ***
as.factor(id)98  -7.1342e-15  3.4690e-15 -2.0566e+00  0.03999 *  
as.factor(id)99   9.0909e-02  1.7585e-14  5.1697e+12  < 2e-16 ***
as.factor(id)100 -9.0909e-02  3.4858e-15 -2.6080e+13  < 2e-16 ***
as.factor(id)101 -1.8182e-01  3.4694e-15 -5.2407e+13  < 2e-16 ***
as.factor(id)102  9.0909e-02  1.7604e-14  5.1641e+12  < 2e-16 ***
as.factor(id)103 -9.0909e-02  1.7538e-14 -5.1834e+12  < 2e-16 ***
as.factor(id)104 -1.8182e-01  3.4712e-15 -5.2379e+13  < 2e-16 ***
as.factor(id)105 -2.7273e-01  3.4683e-15 -7.8633e+13  < 2e-16 ***
as.factor(id)106  2.7273e-01  1.7839e-14  1.5289e+13  < 2e-16 ***
as.factor(id)107 -3.1819e-15  3.4673e-15 -9.1770e-01  0.35901    
as.factor(id)108 -1.9819e-14  1.7628e-14 -1.1243e+00  0.26117    
as.factor(id)109 -1.5312e-14  1.7576e-14 -8.7120e-01  0.38387    
as.factor(id)110  1.8182e-01  1.7547e-14  1.0362e+13  < 2e-16 ***
as.factor(id)111 -9.0909e-02  3.4729e-15 -2.6177e+13  < 2e-16 ***
as.factor(id)112  2.7273e-01  1.7539e-14  1.5549e+13  < 2e-16 ***
as.factor(id)113 -5.4545e-01  3.5088e-15 -1.5545e+14  < 2e-16 ***
as.factor(id)114  9.0909e-02  3.5109e-15  2.5894e+13  < 2e-16 ***
as.factor(id)115 -9.0909e-02  3.4798e-15 -2.6125e+13  < 2e-16 ***
as.factor(id)116 -9.0909e-02  1.7656e-14 -5.1490e+12  < 2e-16 ***
as.factor(id)117 -3.6364e-01  3.5060e-15 -1.0372e+14  < 2e-16 ***
as.factor(id)118  2.7273e-01  1.7537e-14  1.5551e+13  < 2e-16 ***
as.factor(id)119 -3.6364e-01  3.4674e-15 -1.0487e+14  < 2e-16 ***
as.factor(id)120  2.7273e-01  1.7543e-14  1.5546e+13  < 2e-16 ***
as.factor(id)121  3.6364e-01  1.7626e-14  2.0630e+13  < 2e-16 ***
as.factor(id)122 -1.9711e-14  1.7537e-14 -1.1240e+00  0.26131    
as.factor(id)123  9.0909e-02  3.4712e-15  2.6190e+13  < 2e-16 ***
as.factor(id)124 -9.0909e-02  1.7720e-14 -5.1302e+12  < 2e-16 ***
as.factor(id)125 -9.0909e-02  3.4807e-15 -2.6118e+13  < 2e-16 ***
as.factor(id)126  2.7273e-01  1.7572e-14  1.5521e+13  < 2e-16 ***
as.factor(id)127  4.5455e-01  1.7745e-14  2.5615e+13  < 2e-16 ***
as.factor(id)128  1.8182e-01  1.7555e-14  1.0357e+13  < 2e-16 ***
as.factor(id)129 -3.5892e-15  3.4683e-15 -1.0348e+00  0.30100    
as.factor(id)130  3.6364e-01  1.7545e-14  2.0725e+13  < 2e-16 ***
as.factor(id)131 -9.0909e-02  3.4674e-15 -2.6218e+13  < 2e-16 ***
as.factor(id)132  9.0909e-02  1.7575e-14  5.1727e+12  < 2e-16 ***
as.factor(id)133 -1.8182e-01  3.4672e-15 -5.2440e+13  < 2e-16 ***
as.factor(id)134 -2.7430e-15  3.4674e-15 -7.9110e-01  0.42909    
as.factor(id)135  1.8182e-01  1.7538e-14  1.0367e+13  < 2e-16 ***
as.factor(id)136 -1.8182e-01  3.4789e-15 -5.2263e+13  < 2e-16 ***
as.factor(id)137  9.0909e-02  1.7585e-14  5.1697e+12  < 2e-16 ***
as.factor(id)138 -3.6364e-01  3.4694e-15 -1.0481e+14  < 2e-16 ***
as.factor(id)139 -2.7273e-01  3.4673e-15 -7.8657e+13  < 2e-16 ***
as.factor(id)140 -1.5949e-14  1.7538e-14 -9.0940e-01  0.36336    
as.factor(id)141 -2.7273e-01  3.4702e-15 -7.8591e+13  < 2e-16 ***
as.factor(id)142  1.8182e-01  1.7637e-14  1.0309e+13  < 2e-16 ***
as.factor(id)143 -9.0909e-02  3.4682e-15 -2.6212e+13  < 2e-16 ***
as.factor(id)144 -2.7273e-01  3.4723e-15 -7.8544e+13  < 2e-16 ***
as.factor(id)145  1.8182e-01  1.7628e-14  1.0314e+13  < 2e-16 ***
as.factor(id)146  1.8182e-01  1.7544e-14  1.0364e+13  < 2e-16 ***
as.factor(id)147 -3.6364e-01  3.4687e-15 -1.0483e+14  < 2e-16 ***
as.factor(id)148 -2.7273e-01  3.5215e-15 -7.7447e+13  < 2e-16 ***
as.factor(id)149  2.7273e-01  1.7546e-14  1.5544e+13  < 2e-16 ***
as.factor(id)150  1.8182e-01  1.7583e-14  1.0341e+13  < 2e-16 ***
as.factor(id)151 -4.3398e-15  3.4673e-15 -1.2516e+00  0.21100    
as.factor(id)152 -2.7273e-01  3.4702e-15 -7.8591e+13  < 2e-16 ***
as.factor(id)153 -2.1136e-14  1.7541e-14 -1.2050e+00  0.22851    
as.factor(id)154 -1.8182e-01  3.4681e-15 -5.2426e+13  < 2e-16 ***
as.factor(id)155  2.7273e-01  1.7673e-14  1.5431e+13  < 2e-16 ***
as.factor(id)156 -1.8182e-01  3.4672e-15 -5.2440e+13  < 2e-16 ***
as.factor(id)157  3.6364e-01  1.7539e-14  2.0733e+13  < 2e-16 ***
as.factor(id)158 -1.8394e-14  1.7571e-14 -1.0469e+00  0.29541    
as.factor(id)159 -1.8182e-01  3.4764e-15 -5.2301e+13  < 2e-16 ***
as.factor(id)162 -3.3595e-15  3.4717e-15 -9.6770e-01  0.33345    
as.factor(id)163  1.8182e-01  1.7542e-14  1.0365e+13  < 2e-16 ***
as.factor(id)164  1.8182e-01  1.7633e-14  1.0311e+13  < 2e-16 ***
as.factor(id)165  9.0909e-02  3.4707e-15  2.6193e+13  < 2e-16 ***
as.factor(id)166 -9.0909e-02  3.4677e-15 -2.6216e+13  < 2e-16 ***
as.factor(id)167 -9.0909e-02  1.7591e-14 -5.1680e+12  < 2e-16 ***
as.factor(id)168  1.8182e-01  1.7571e-14  1.0347e+13  < 2e-16 ***
as.factor(id)169 -1.8182e-01  3.4764e-15 -5.2301e+13  < 2e-16 ***
as.factor(id)171  9.0909e-02  3.4756e-15  2.6156e+13  < 2e-16 ***
as.factor(id)172  1.8182e-01  1.7572e-14  1.0347e+13  < 2e-16 ***
as.factor(id)174 -3.6364e-01  3.4764e-15 -1.0460e+14  < 2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
stargazer::stargazer(prop_white_model, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(prop_white_model, cluster = df[ , as.factor(id)])))),out='prop_white_model_table.html')
length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed

<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>nb_is_white</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)73</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)74</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)77</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)78</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)79</td><td>0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)80</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)81</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)82</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)83</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)84</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)85</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)86</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)87</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)88</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)89</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)90</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)91</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)92</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)93</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)94</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)95</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)96</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)97</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)98</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)99</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)100</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)101</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)102</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)103</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)104</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)105</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)106</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)107</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)108</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)109</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)110</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)111</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)112</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)113</td><td>-0.545<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)114</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)115</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)116</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)117</td><td>-0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)118</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)119</td><td>-0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)120</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)121</td><td>0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)122</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)123</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)124</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)125</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)126</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)127</td><td>0.455<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)128</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)129</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)130</td><td>0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)131</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)132</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)133</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)134</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)135</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)136</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)137</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)138</td><td>-0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)139</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)140</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)141</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)142</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)143</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)144</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)145</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)146</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)147</td><td>-0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)148</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)149</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)150</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)151</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)152</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)153</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)154</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)155</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)156</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)157</td><td>0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)158</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)159</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)162</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)163</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)164</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)165</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)166</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)167</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)168</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)169</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)171</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)172</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)173</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)174</td><td>-0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>0.636<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.149)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>1,078</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.096</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.007</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>0.494 (df = 980)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>1.073 (df = 97; 980)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>
prop_white_model_no_id = df[, lm(nb_is_white ~ treatment)]
coeftest(prop_white_model_no_id,  vcov = vcovCL(prop_white_model_no_id))

t test of coefficients:

            Estimate Std. Error t value  Pr(>|t|)    
(Intercept) 0.520000   0.021323 24.3870 < 2.2e-16 ***
treatment   0.089848   0.030102  2.9848  0.002902 ** 
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
stargazer::stargazer(prop_white_model_no_id, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(prop_white_model_no_id, cluster = df[ , as.factor(id)])))),out='prop_white_model_no_id_table.html')
length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed

<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>nb_is_white</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>0.090<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.030)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>0.520<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.021)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>1,078</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.008</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.007</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>0.494 (df = 1076)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>8.900<sup>***</sup> (df = 1; 1076)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>
df[,log_white_diff]
   [1] -11.5129255 -11.5129255  -7.6009025  -8.5171932 -11.2252434 -12.2060726  11.0020998 -10.8197783  -9.2103404  10.5966347  -9.2103404  -9.4727046 -10.8197783  -7.6009025 -10.8197783  -9.9034876  -9.2103404 -10.4631033   8.5171932 -13.1223634  -9.6158055 -10.8197783 -12.2060726  -8.9871968   8.5171932  -9.6158055
  [27] -11.5129255  11.2252434   8.5171932 -11.5129255 -10.8197783  -9.9034876  -7.7186855 -11.4616322  -9.9034876 -12.2060726  10.1266311  -9.2103404 -10.5966347   9.9987977 -11.6952470 -10.3089527  -8.0063676   9.9034876   7.6009025   8.9871968  10.5966347  -8.5171932  10.5966347 -10.2750511   9.6158055   8.5171932
  [53]  11.9183906 -11.5129255  10.5966347  11.0020998  10.3089527  11.6952470  10.1266311   8.6995147  -8.5171932   9.2103404  11.1562505  -9.2103404  -8.6995147   9.2103404   8.5171932  11.2252434   8.0063676  10.1266311  11.5129255  -9.6158055  11.2252434   9.6158055  10.8197783   9.6158055  -9.9034876  10.2399598
  [79]  10.8197783   9.6158055   8.9226583   9.9034876   9.2103404  12.6115378  11.0020998  10.5966347  11.9183906  11.0821425  11.0020998  10.8197783   9.6158055  10.1266311   9.6158055   9.6158055  12.2060726   8.5171932  -9.9034876 -10.8197783   9.2103404  -8.5171932  11.1562505  11.5129255 -12.6115378 -10.8197783
 [105]  -9.9034876  10.9150885   8.9226583   8.9871968 -11.5129255  -9.2103404 -10.8197783  -9.9034876   9.9034876 -10.3734912   7.6009025 -11.9183906  -9.0478214   8.0063676  10.1266311   8.0063676  -9.6158055 -10.3089527  10.8197783  10.1266311   8.5171932  10.4631033  11.5129255  -9.9034876  -8.6125034 -11.2897819
 [131]  -9.2103404 -12.2060726   9.2103404   9.2103404 -11.2252434  -9.3926619   9.9987977 -10.1266311  -8.8536654  -9.3926619  -8.5171932  -7.6009025 -10.3089527  -8.5171932  11.0020998  11.4075649  10.1266311   8.5171932  11.0020998  10.9150885  11.2252434  10.3089527   9.6158055  10.1266311   8.9871968  -8.1605182
 [157]   9.9034876   6.9077553  11.0821425   9.6158055  10.8197783   9.2103404   7.6009025 -10.8197783   8.1016777   9.3926619  11.2252434   6.9077553   9.9034876  10.1266311  11.5129255  11.0020998   9.2103404  10.4631033  10.4631033   9.2103404   8.8536654  10.1266311  10.5966347  11.9183906  -9.9987977   9.2103404
 [183]   9.2103404   8.2940496  -8.0063676  10.7144178   9.2103404  10.1266311   8.0063676   8.8536654  10.3089527   8.5171932 -10.3089527 -10.5713169  -8.5171932  -9.9034876 -10.9150885 -12.2060726  12.2060726 -10.5966347   9.6158055  11.2897819  -9.6158055   8.6995147  10.1266311   6.9077553  10.3089527   9.9034876
 [209]  -9.6158055   9.9034876 -10.1266311 -13.1223634   8.0063676  -9.2103404   8.5171932  -8.0063676 -10.5966347   9.6158055  10.1266311 -10.4631033   8.5171932  -9.0359870 -11.5129255  -8.8536654  -8.9489756   6.9077553  10.8197783 -12.4292162 -10.9150885  -9.9034876 -10.3089527  -9.7409686  10.0858091 -10.4631033
 [235]   9.2103404  10.1266311  -8.5171932  -8.0063676  -9.9034876   8.5171932  10.3089527  10.7144178  -8.5171932   8.9226583  10.7144178  11.5129255 -10.5966347  10.5966347  -9.9034876 -10.4631033   8.5171932   9.6803440   8.5171932  -6.9077553 -10.9150885  -8.9871968   9.9034876  -9.6158055   8.5171932 -10.8197783
 [261]   9.2103404  -9.6158055  11.2252434  -7.6009025   8.9226583   9.2103404  11.5129255   9.9034876   8.5171932  -9.3056506  10.7144178   9.6158055  -7.8240460  10.3089527  11.5129255  11.5129255   9.9034876   9.6158055  10.5966347  -9.5468126   8.6995147   8.6995147  -8.5171932 -10.8197783  -8.5171932  -7.6009025
 [287]  10.8197783  -8.5171932  10.3089527 -11.0020998 -10.1266311   9.2103404 -11.6082356 -12.4292162 -10.3089527 -10.8197783   9.9034876 -10.5966347 -10.1266311  -8.9871968 -11.1562505 -10.1266311  11.1562505   8.5171932  -8.2940496 -10.5966347  -9.9034876 -12.2060726   7.0030655   9.4334839 -11.2252434  -8.5171932
 [313]  -7.8240460  -9.6158055   9.9034876   9.9034876  -9.9034876 -10.4631033  11.9183906 -10.8197783  -8.0709061   9.2103404 -11.5129255 -11.5129255 -11.5129255 -11.2252434 -11.1562505  10.4631033  10.7363967  -8.2940496   9.3926619 -11.2252434  -8.5171932   8.2940496 -12.2060726  10.1266311  10.5966347  10.8197783
 [339]  10.1266311   9.6158055  11.5129255  10.8197783  10.8197783  10.3089527   9.6158055  11.0020998   9.9034876   8.2940496  -8.5171932   8.5171932  11.6952470  -8.5171932 -11.5129255   8.9871968   8.5171932  11.9183906   9.1049799  11.0821425  10.1266311  -8.0063676  -7.8240460   9.6158055  10.8197783  10.8197783
 [365]   9.9034876   9.7981270 -10.8197783   9.3926619   9.3056506  -8.5171932  10.5966347  12.6115378  10.5966347   9.6158055   9.2103404  10.1266311  12.3013828  -8.6995147   9.2103404  10.8197783   9.2103404   8.9871968 -10.5966347  -8.5171932  11.0020998   9.9034876  -7.8240460   9.2103404  11.7360690  11.9183906
 [391]  11.5129255   9.2103404   9.6158055 -10.1266311   9.9034876   9.5468126  10.1266311  -9.9034876   9.9034876   8.9871968  -6.2146081   9.6158055  -6.9077553  11.9183906  -7.6009025   8.9226583  10.8197783   9.3926619  -9.2103404   9.2103404  11.2252434 -10.3089527   9.9034876  11.2897819   9.9034876  10.1266311
 [417]   7.3132204   8.5171932 -10.8197783  12.2060726   9.6158055  10.1266311  10.3089527  10.8197783  10.1266311   8.8536654   8.5171932   9.6158055  -9.2103404  -8.8536654  10.3089527  -8.5171932  -9.2103404  10.1266311   9.6158055  -8.9226583  10.3089527 -10.5966347 -10.5966347   9.9034876   8.8536654  10.4631033
 [443]   9.3056506 -10.1266311  10.8197783  -6.9077553   9.9034876  -8.2940496   9.9034876   9.6158055   7.8240460 -11.5129255   7.9010071   9.6158055   9.9034876   6.9077553  -8.5171932   9.2103404   9.9034876  -9.6158055   9.2103404   8.9871968 -10.8197783  -9.2103404  -8.1605182  -6.9077553  11.0020998  12.2060726
 [469]  10.3089527   9.9034876  -9.6158055   9.2103404  10.8197783  -8.6995147  -8.2940496  -9.2103404  -8.5171932   9.2103404  10.3089527  -8.5171932   9.2103404  10.7789563  -8.5171932   8.8536654  11.2252434  12.2548628  11.2897819  10.3089527   9.7409686  11.0821425   9.3926619  -9.6158055   9.2103404  -8.5171932
 [495]  10.9150885   8.9871968   6.2146081  10.3089527   9.2103404  11.7360690   8.9871968   9.3926619  10.8197783   8.5171932  -7.8240460   9.6158055  10.8197783  -9.6158055   9.2103404 -10.6213273  11.2252434   9.6803440   7.8632667  11.2252434  10.5966347  12.4292162  10.4631033  -9.2103404 -10.5966347   8.5171932
 [521]  10.7144178   9.9034876   9.2103404   9.6158055  -6.9077553   9.2103404  10.3089527   8.5171932   9.2103404   9.2103404   9.7409686  -9.2103404   6.9077553  -5.7037825  -8.0063676   8.9226583   8.9871968   6.9077553   8.5171932  -8.8536654   6.9077553   8.8536654  -7.6009025  -8.5171932   7.3132204  -7.6962126
 [547]   6.2146081   8.5171932 -10.3089527   6.2146081   8.5171932  -7.8240460  -8.2940496   9.2103404   8.0709061   9.2103404   8.5171932   5.5214609   7.3132204  -7.3132204  -9.9034876  -7.6962126  -8.5171932  -4.6051702   6.9077553 -10.3089527  -8.5171932   8.2940496  -8.6995147   6.9077553  -6.2146081  -7.6009025
 [573]   7.6009025   8.1605182   6.6846117  -6.9077553   9.3926619  -9.2103404  -9.9034876  11.0821425  10.7789563   9.6158055  -8.5171932   7.3132204   8.5171932  -9.2103404   9.9034876   6.9077553  -8.9871968   9.2103404   8.5171932   7.8240460   8.2940496   9.1049799  -7.6009025   8.9226583   6.9077553  10.8197783
 [599]  -8.5171932  -6.2146081   8.5171932   6.9077553  -8.5171932   8.5171932   7.2793188   9.2103404   8.5171932  -5.7037825  -6.2146081   8.0063676  11.5129255   8.4553178  10.3089527   5.9914645   8.5171932  10.8197783   8.5171932   8.2940496  -9.2103404   6.9077553   8.0063676   8.8536654  -7.6009025   8.6305219
 [625]   6.2146081  -6.2146081  10.3089527  10.1266311  -9.2103404 -10.8197783  10.1266311 -10.4631033   8.9226583  -6.5510803   8.5171932   9.6158055  -7.6009025  -6.9077553  -9.6158055  -9.2103404  -7.6009025   8.9226583   7.6009025  -8.5171932  -7.0900768  -7.8240460  -7.6009025  -8.5171932  -6.9077553  -6.9077553
 [651]  -8.2940496  -8.0063676  -7.8240460   8.5171932   9.5819039  -9.6158055  -8.5171932  -6.9077553   6.2146081  -8.5171932 -10.8197783  -8.3487745  -9.9034876  -4.6051702  -7.6009025  -9.2103404  -9.2103404  -9.2103404  -8.6995147   0.6931472  -8.0063676  -9.0478214   7.6009025  -7.9724660  -6.9077553  -6.2146081
 [677]  10.0858091  -9.6158055   9.9034876   9.6158055  -9.9034876   8.9871968   7.6009025   7.3132204  -7.8240460  -9.6158055   8.5171932   8.0063676   7.6009025  -7.3132204   9.5468126  -8.5171932   6.9077553  -8.2940496   6.8023948   8.4118327   6.2146081  -9.2103404  -9.2103404  -6.2146081   9.2103404  -7.6496926
 [703]   8.5171932  -8.5171932  -7.3132204   9.9034876   8.5171932   6.3969297   6.9077553   8.4118327  -9.2103404   8.2661644   8.5171932   6.2146081  -6.9077553  -9.2103404   8.5171932   8.9226583   7.6009025   7.6009025   7.3132204   8.6125034  -6.9077553   8.2940496   6.2146081   6.9077553   9.6158055  -8.5171932
 [729]   9.2103404   9.2103404   9.6158055  -9.2103404   9.3156909  -5.7037825   7.8240460   9.2103404   9.2103404   6.9077553   8.8536654   8.5171932   6.9077553  10.1266311   7.6009025   8.0063676   5.5214609  -7.8240460   6.9077553   9.9034876   9.2103404   7.6009025   8.5171932  -7.6496926   7.3132204   9.2103404
 [755]  10.4912742   9.6158055   8.5171932  -6.1092476   6.9077553   7.6009025 -10.1266311  -7.0900768  -8.5171932  -6.2146081   7.6009025 -10.5966347   6.2146081   8.0063676  -9.2103404  -7.3132204  -7.3132204   6.9077553   7.8240460   7.6496926   6.8023948 -10.3089527   9.0478214  -9.6158055   9.2103404 -10.4631033
 [781]  -7.8240460   9.3926619 -10.3089527   6.9077553  -8.5171932  -9.6158055  -8.5171932  -7.6009025  -8.5171932   9.2103404  -8.5171932 -10.1266311  -6.9077553  -8.5171932  -6.9077553  -8.6995147   7.3132204  10.8197783  -9.9034876   7.8240460 -10.8197783   7.7406644  -8.9871968  -9.6158055 -10.3417425  -9.9034876
 [807]  -8.5171932   6.6200732  -6.9077553   7.6009025  11.7360690  -7.8536048  -9.2103404  -5.7037825  -6.9077553  10.8197783  -8.5171932  -7.6009025  -8.2940496  -8.0063676  -7.3132204  -8.0063676  -9.6158055  -8.0391574  -7.8240460  -6.9077553  -9.9987977   9.6158055   9.9034876  10.8197783 -10.7144178   9.2103404
 [833]  10.8197783   7.6009025   8.5171932  -8.5171932   6.9077553   6.9077553   8.0063676  -8.8536654   8.0063676  -8.5171932  -8.0063676 -10.3089527   7.7406644   8.2940496   6.9077553  -9.2103404  -9.2103404   6.6200732   9.6158055  -8.1605182   8.0063676  -9.2103404  -8.4118327   9.9034876  -9.2103404   6.2146081
 [859]   7.3132204  -8.0063676 -11.9183906   7.4781697   9.2103404   5.2983174  -7.3132204 -11.5129255  -8.5171932   8.5171932   8.5171932   0.6931472   7.3132204   7.1308988   9.2103404   7.2442275  -6.9077553   6.6846117 -10.8197783  -9.2103404  -9.9034876 -10.4631033   9.4727046  -9.9034876   6.2146081  -7.1701195
 [885]   8.0063676   8.5171932   6.9077553   7.6009025   7.6009025  -7.6009025   6.9077553   8.5171932   7.6009025   7.6009025  -5.7037825  -8.5171932  -6.2146081  -9.2103404  -9.2103404   6.2146081  -8.6995147  -7.4955419  -8.4118327   8.5171932  -9.6803440  -9.9034876  -6.9077553  -6.2146081  -7.6009025  -6.2146081
 [911]  -9.6158055  -6.2633983  -8.5171932   3.9120230  -7.3132204  -8.5171932  -8.5171932  -7.6009025  12.0435537  -0.6931472  -6.2146081  -7.3132204   6.9077553   7.9373747   6.2146081  -5.7037825   8.6995147  -9.2103404   9.2103404   9.6158055  -8.6125034   8.5171932  -4.6051702   7.4673711  -7.8240460  -8.5171932
 [937]   9.6158055   6.9077553   8.5171932   8.0063676  -9.3926619  -8.5171932   7.6009025  -8.0063676  -8.5171932  -8.9871968   6.9077553   9.9034876  -9.9034876   6.9077553   9.9034876   7.3132204  -8.5171932   8.5171932  -7.9010071  10.4631033   8.5171932   6.6200732  -7.8240460  -7.8240460  10.8197783  -7.0900768
 [963] -10.1266311   6.9077553   6.6200732   9.6158055   9.2103404   8.5171932 -10.3089527  -9.2103404   6.9077553  -9.7409686  -8.0063676   8.2940496  -7.8240460   8.0063676  -9.2103404   8.9226583  -9.6158055 -10.1266311  10.1658518  -9.6158055   6.2146081  -6.2146081   7.8240460   8.6995147   7.6009025  -7.6009025
 [989]   8.2940496  -8.5171932   8.0063676   9.3926619  -6.9077553   7.6009025  -6.6200732  -8.2940496  -6.2146081  -9.2103404 -10.3089527   6.9077553
 [ reached getOption("max.print") -- omitted 78 entries ]
df[,white_value_diff]
   [1] -100000.0 -100000.0   -2000.0   -5000.0  -75000.0 -200000.0   60000.0  -50000.0  -10000.0   40000.0  -10000.0  -13000.0  -50000.0   -2000.0  -50000.0  -20000.0  -10000.0  -35000.0    5000.0 -500000.0  -15000.0  -50000.0 -200000.0   -8000.0    5000.0  -15000.0 -100000.0   75000.0    5000.0 -100000.0  -50000.0
  [32]  -20000.0   -2250.0  -95000.0  -20000.0 -200000.0   25000.0  -10000.0  -40000.0   22000.0 -120000.0  -30000.0   -3000.0   20000.0    2000.0    8000.0   40000.0   -5000.0   40000.0  -29000.0   15000.0    5000.0  150000.0 -100000.0   40000.0   60000.0   30000.0  120000.0   25000.0    6000.0   -5000.0   10000.0
  [63]   70000.0  -10000.0   -6000.0   10000.0    5000.0   75000.0    3000.0   25000.0  100000.0  -15000.0   75000.0   15000.0   50000.0   15000.0  -20000.0   28000.0   50000.0   15000.0    7500.0   20000.0   10000.0  300000.0   60000.0   40000.0  150000.0   65000.0   60000.0   50000.0   15000.0   25000.0   15000.0
  [94]   15000.0  200000.0    5000.0  -20000.0  -50000.0   10000.0   -5000.0   70000.0  100000.0 -300000.0  -50000.0  -20000.0   55000.0    7500.0    8000.0 -100000.0  -10000.0  -50000.0  -20000.0   20000.0  -32000.0    2000.0 -150000.0   -8500.0    3000.0   25000.0    3000.0  -15000.0  -30000.0   50000.0   25000.0
 [125]    5000.0   35000.0  100000.0  -20000.0   -5500.0  -80000.0  -10000.0 -200000.0   10000.0   10000.0  -75000.0  -12000.0   22000.0  -25000.0   -7000.0  -12000.0   -5000.0   -2000.0  -30000.0   -5000.0   60000.0   90000.0   25000.0    5000.0   60000.0   55000.0   75000.0   30000.0   15000.0   25000.0    8000.0
 [156]   -3500.0   20000.0    1000.0   65000.0   15000.0   50000.0   10000.0    2000.0  -50000.0    3300.0   12000.0   75000.0    1000.0   20000.0   25000.0  100000.0   60000.0   10000.0   35000.0   35000.0   10000.0    7000.0   25000.0   40000.0  150000.0  -22000.0   10000.0   10000.0    4000.0   -3000.0   45000.0
 [187]   10000.0   25000.0    3000.0    7000.0   30000.0    5000.0  -30000.0  -39000.0   -5000.0  -20000.0  -55000.0 -200000.0  200000.0  -40000.0   15000.0   80000.0  -15000.0    6000.0   25000.0    1000.0   30000.0   20000.0  -15000.0   20000.0  -25000.0 -500000.0    3000.0  -10000.0    5000.0   -3000.0  -40000.0
 [218]   15000.0   25000.0  -35000.0    5000.0   -8400.0 -100000.0   -7000.0   -7700.0    1000.0   50000.0 -250000.0  -55000.0  -20000.0  -30000.0  -17000.0   24000.0  -35000.0   10000.0   25000.0   -5000.0   -3000.0  -20000.0    5000.0   30000.0   45000.0   -5000.0    7500.0   45000.0  100000.0  -40000.0   40000.0
 [249]  -20000.0  -35000.0    5000.0   16000.0    5000.0   -1000.0  -55000.0   -8000.0   20000.0  -15000.0    5000.0  -50000.0   10000.0  -15000.0   75000.0   -2000.0    7500.0   10000.0  100000.0   20000.0    5000.0  -11000.0   45000.0   15000.0   -2500.0   30000.0  100000.0  100000.0   20000.0   15000.0   40000.0
 [280]  -14000.0    6000.0    6000.0   -5000.0  -50000.0   -5000.0   -2000.0   50000.0   -5000.0   30000.0  -60000.0  -25000.0   10000.0 -110000.0 -250000.0  -30000.0  -50000.0   20000.0  -40000.0  -25000.0   -8000.0  -70000.0  -25000.0   70000.0    5000.0   -4000.0  -40000.0  -20000.0 -200000.0    1100.0   12500.0
 [311]  -75000.0   -5000.0   -2500.0  -15000.0   20000.0   20000.0  -20000.0  -35000.0  150000.0  -50000.0   -3200.0   10000.0 -100000.0 -100000.0 -100000.0  -75000.0  -70000.0   35000.0   46000.0   -4000.0   12000.0  -75000.0   -5000.0    4000.0 -200000.0   25000.0   40000.0   50000.0   25000.0   15000.0  100000.0
 [342]   50000.0   50000.0   30000.0   15000.0   60000.0   20000.0    4000.0   -5000.0    5000.0  120000.0   -5000.0 -100000.0    8000.0    5000.0  150000.0    9000.0   65000.0   25000.0   -3000.0   -2500.0   15000.0   50000.0   50000.0   20000.0   18000.0  -50000.0   12000.0   11000.0   -5000.0   40000.0  300000.0
 [373]   40000.0   15000.0   10000.0   25000.0  220000.0   -6000.0   10000.0   50000.0   10000.0    8000.0  -40000.0   -5000.0   60000.0   20000.0   -2500.0   10000.0  125000.0  150000.0  100000.0   10000.0   15000.0  -25000.0   20000.0   14000.0   25000.0  -20000.0   20000.0    8000.0    -500.0   15000.0   -1000.0
 [404]  150000.0   -2000.0    7500.0   50000.0   12000.0  -10000.0   10000.0   75000.0  -30000.0   20000.0   80000.0   20000.0   25000.0    1500.0    5000.0  -50000.0  200000.0   15000.0   25000.0   30000.0   50000.0   25000.0    7000.0    5000.0   15000.0  -10000.0   -7000.0   30000.0   -5000.0  -10000.0   25000.0
 [435]   15000.0   -7500.0   30000.0  -40000.0  -40000.0   20000.0    7000.0   35000.0   11000.0  -25000.0   50000.0   -1000.0   20000.0   -4000.0   20000.0   15000.0    2500.0 -100000.0    2700.0   15000.0   20000.0    1000.0   -5000.0   10000.0   20000.0  -15000.0   10000.0    8000.0  -50000.0  -10000.0   -3500.0
 [466]   -1000.0   60000.0  200000.0   30000.0   20000.0  -15000.0   10000.0   50000.0   -6000.0   -4000.0  -10000.0   -5000.0   10000.0   30000.0   -5000.0   10000.0   48000.0   -5000.0    7000.0   75000.0  210000.0   80000.0   30000.0   17000.0   65000.0   12000.0  -15000.0   10000.0   -5000.0   55000.0    8000.0
 [497]     500.0   30000.0   10000.0  125000.0    8000.0   12000.0   50000.0    5000.0   -2500.0   15000.0   50000.0  -15000.0   10000.0  -41000.0   75000.0   16000.0    2600.0   75000.0   40000.0  250000.0   35000.0  -10000.0  -40000.0    5000.0   45000.0   20000.0   10000.0   15000.0   -1000.0   10000.0   30000.0
 [528]    5000.0   10000.0   10000.0   17000.0  -10000.0    1000.0    -300.0   -3000.0    7500.0    8000.0    1000.0    5000.0   -7000.0    1000.0    7000.0   -2000.0   -5000.0    1500.0   -2200.0     500.0    5000.0  -30000.0     500.0    5000.0   -2500.0   -4000.0   10000.0    3200.0   10000.0    5000.0     250.0
 [559]    1500.0   -1500.0  -20000.0   -2200.0   -5000.0    -100.0    1000.0  -30000.0   -5000.0    4000.0   -6000.0    1000.0    -500.0   -2000.0    2000.0    3500.0     800.0   -1000.0   12000.0  -10000.0  -20000.0   65000.0   48000.0   15000.0   -5000.0    1500.0    5000.0  -10000.0   20000.0    1000.0   -8000.0
 [590]   10000.0    5000.0    2500.0    4000.0    9000.0   -2000.0    7500.0    1000.0   50000.0   -5000.0    -500.0    5000.0    1000.0   -5000.0    5000.0    1450.0   10000.0    5000.0    -300.0    -500.0    3000.0  100000.0    4700.0   30000.0     400.0    5000.0   50000.0    5000.0    4000.0  -10000.0    1000.0
 [621]    3000.0    7000.0   -2000.0    5600.0     500.0    -500.0   30000.0   25000.0  -10000.0  -50000.0   25000.0  -35000.0    7500.0    -700.0    5000.0   15000.0   -2000.0   -1000.0  -15000.0  -10000.0   -2000.0    7500.0    2000.0   -5000.0   -1200.0   -2500.0   -2000.0   -5000.0   -1000.0   -1000.0   -4000.0
 [652]   -3000.0   -2500.0    5000.0   14500.0  -15000.0   -5000.0   -1000.0     500.0   -5000.0  -50000.0   -4225.0  -20000.0    -100.0   -2000.0  -10000.0  -10000.0  -10000.0   -6000.0      -0.5   -3000.0   -8500.0    2000.0   -2900.0   -1000.0    -500.0   24000.0  -15000.0   20000.0   15000.0  -20000.0    8000.0
 [683]    2000.0    1500.0   -2500.0  -15000.0    5000.0    3000.0    2000.0   -1500.0   14000.0   -5000.0    1000.0   -4000.0     900.0    4500.0     500.0  -10000.0  -10000.0    -500.0   10000.0   -2100.0    5000.0   -5000.0   -1500.0   20000.0    5000.0     600.0    1000.0    4500.0  -10000.0    3890.0    5000.0
 [714]     500.0   -1000.0  -10000.0    5000.0    7500.0    2000.0    2000.0    1500.0    5500.0   -1000.0    4000.0     500.0    1000.0   15000.0   -5000.0   10000.0   10000.0   15000.0  -10000.0   11111.0    -300.0    2500.0   10000.0   10000.0    1000.0    7000.0    5000.0    1000.0   25000.0    2000.0    3000.0
 [745]     250.0   -2500.0    1000.0   20000.0   10000.0    2000.0    5000.0   -2100.0    1500.0   10000.0   36000.0   15000.0    5000.0    -450.0    1000.0    2000.0  -25000.0   -1200.0   -5000.0    -500.0    2000.0  -40000.0     500.0    3000.0  -10000.0   -1500.0   -1500.0    1000.0    2500.0    2100.0     900.0
 [776]  -30000.0    8500.0  -15000.0   10000.0  -35000.0   -2500.0   12000.0  -30000.0    1000.0   -5000.0  -15000.0   -5000.0   -2000.0   -5000.0   10000.0   -5000.0  -25000.0   -1000.0   -5000.0   -1000.0   -6000.0    1500.0   50000.0  -20000.0    2500.0  -50000.0    2300.0   -8000.0  -15000.0  -31000.0  -20000.0
 [807]   -5000.0     750.0   -1000.0    2000.0  125000.0   -2575.0  -10000.0    -300.0   -1000.0   50000.0   -5000.0   -2000.0   -4000.0   -3000.0   -1500.0   -3000.0  -15000.0   -3100.0   -2500.0   -1000.0  -22000.0   15000.0   20000.0   50000.0  -45000.0   10000.0   50000.0    2000.0    5000.0   -5000.0    1000.0
 [838]    1000.0    3000.0   -7000.0    3000.0   -5000.0   -3000.0  -30000.0    2300.0    4000.0    1000.0  -10000.0  -10000.0     750.0   15000.0   -3500.0    3000.0  -10000.0   -4500.0   20000.0  -10000.0     500.0    1500.0   -3000.0 -150000.0    1769.0   10000.0     200.0   -1500.0 -100000.0   -5000.0    5000.0
 [869]    5000.0      -0.5    1500.0    1250.0   10000.0    1400.0   -1000.0     800.0  -50000.0  -10000.0  -20000.0  -35000.0   13000.0  -20000.0     500.0   -1300.0    3000.0    5000.0    1000.0    2000.0    2000.0   -2000.0    1000.0    5000.0    2000.0    2000.0    -300.0   -5000.0    -500.0  -10000.0  -10000.0
 [900]     500.0   -6000.0   -1800.0   -4500.0    5000.0  -16000.0  -20000.0   -1000.0    -500.0   -2000.0    -500.0  -15000.0    -525.0   -5000.0      50.0   -1500.0   -5000.0   -5000.0   -2000.0  170000.0       0.5    -500.0   -1500.0    1000.0    2800.0     500.0    -300.0    6000.0  -10000.0   10000.0   15000.0
 [931]   -5500.0    5000.0    -100.0    1750.0   -2500.0   -5000.0   15000.0    1000.0    5000.0    3000.0  -12000.0   -5000.0    2000.0   -3000.0   -5000.0   -8000.0    1000.0   20000.0  -20000.0    1000.0   20000.0    1500.0   -5000.0    5000.0   -2700.0   35000.0    5000.0     750.0   -2500.0   -2500.0   50000.0
 [962]   -1200.0  -25000.0    1000.0     750.0   15000.0   10000.0    5000.0  -30000.0  -10000.0    1000.0  -17000.0   -3000.0    4000.0   -2500.0    3000.0  -10000.0    7500.0  -15000.0  -25000.0   26000.0  -15000.0     500.0    -500.0    2500.0    6000.0    2000.0   -2000.0    4000.0   -5000.0    3000.0   12000.0
 [993]   -1000.0    2000.0    -750.0   -4000.0    -500.0  -10000.0  -30000.0    1000.0
 [ reached getOption("max.print") -- omitted 78 entries ]
value_model = df[, lm(white_value_diff ~ treatment + as.factor(id))]
coeftest(value_model,  vcov = vcovCL(value_model, cluster = df[ , as.factor(id)]))

t test of coefficients:

                    Estimate  Std. Error     t value Pr(>|t|)    
(Intercept)       4.0909e+03  2.8437e-10  1.4386e+13   <2e-16 ***
treatment        -2.7273e+03  7.2710e-10 -3.7509e+12   <2e-16 ***
as.factor(id)73   8.6364e+03  6.6921e-10  1.2905e+13   <2e-16 ***
as.factor(id)74  -1.3636e+03  8.2448e-10 -1.6539e+12   <2e-16 ***
as.factor(id)77   2.7990e-10  2.9612e-10  9.4520e-01   0.3448    
as.factor(id)78   2.7727e+03  6.6921e-10  4.1433e+12   <2e-16 ***
as.factor(id)79   3.2727e+03  2.8733e-10  1.1390e+13   <2e-16 ***
as.factor(id)80  -6.8182e+03  2.8958e-10 -2.3545e+13   <2e-16 ***
as.factor(id)81   6.3636e+02  6.6995e-10  9.4986e+11   <2e-16 ***
as.factor(id)82   3.6364e+04  6.7448e-10  5.3914e+13   <2e-16 ***
as.factor(id)83  -1.7582e+02  2.8818e-10 -6.1011e+11   <2e-16 ***
as.factor(id)84  -3.7136e+03  2.8752e-10 -1.2916e+13   <2e-16 ***
as.factor(id)85  -3.0000e+03  2.8609e-10 -1.0486e+13   <2e-16 ***
as.factor(id)86  -4.2273e+03  2.8779e-10 -1.4689e+13   <2e-16 ***
as.factor(id)87  -1.2727e+04  8.4488e-10 -1.5064e+13   <2e-16 ***
as.factor(id)88   1.6364e+04  6.7028e-10  2.4413e+13   <2e-16 ***
as.factor(id)89   1.3636e+03  6.8034e-10  2.0044e+12   <2e-16 ***
as.factor(id)90   1.3636e+03  2.8766e-10  4.7405e+12   <2e-16 ***
as.factor(id)91  -3.4545e+03  2.8746e-10 -1.2018e+13   <2e-16 ***
as.factor(id)92   6.2727e+03  6.8728e-10  9.1269e+12   <2e-16 ***
as.factor(id)93  -3.4091e+03  2.8710e-10 -1.1874e+13   <2e-16 ***
as.factor(id)94   3.3182e+04  6.7329e-10  4.9283e+13   <2e-16 ***
as.factor(id)95  -4.9545e+03  2.9190e-10 -1.6974e+13   <2e-16 ***
as.factor(id)96  -3.0909e+03  2.8791e-10 -1.0736e+13   <2e-16 ***
as.factor(id)97   3.9545e+03  6.7220e-10  5.8830e+12   <2e-16 ***
as.factor(id)98  -1.6818e+03  2.8734e-10 -5.8531e+12   <2e-16 ***
as.factor(id)99  -2.3182e+03  6.7273e-10 -3.4459e+12   <2e-16 ***
as.factor(id)100 -3.7273e+03  2.8710e-10 -1.2982e+13   <2e-16 ***
as.factor(id)101 -7.0000e+03  2.8832e-10 -2.4279e+13   <2e-16 ***
as.factor(id)102 -1.0000e+04  6.6927e-10 -1.4942e+13   <2e-16 ***
as.factor(id)103 -5.6364e+03  6.7209e-10 -8.3863e+12   <2e-16 ***
as.factor(id)104 -4.5273e+03  2.8857e-10 -1.5688e+13   <2e-16 ***
as.factor(id)105 -4.4727e+03  2.8743e-10 -1.5561e+13   <2e-16 ***
as.factor(id)106  2.5455e+04  7.4645e-10  3.4101e+13   <2e-16 ***
as.factor(id)107 -3.9091e+03  2.8821e-10 -1.3563e+13   <2e-16 ***
as.factor(id)108 -2.3636e+03  6.7558e-10 -3.4987e+12   <2e-16 ***
as.factor(id)109 -3.6364e+03  6.7875e-10 -5.3575e+12   <2e-16 ***
as.factor(id)110 -2.6364e+03  6.6964e-10 -3.9370e+12   <2e-16 ***
as.factor(id)111  5.4545e+03  2.8733e-10  1.8984e+13   <2e-16 ***
as.factor(id)112 -2.2273e+03  6.6995e-10 -3.3245e+12   <2e-16 ***
as.factor(id)113 -1.9182e+04  2.8864e-10 -6.6456e+13   <2e-16 ***
as.factor(id)114 -3.4545e+03  2.8767e-10 -1.2009e+13   <2e-16 ***
as.factor(id)115 -6.3636e+03  2.8774e-10 -2.2116e+13   <2e-16 ***
as.factor(id)116 -9.6818e+04  6.6989e-10 -1.4453e+14   <2e-16 ***
as.factor(id)117 -5.4000e+03  2.8773e-10 -1.8768e+13   <2e-16 ***
as.factor(id)118 -3.6364e+01  6.6960e-10 -5.4307e+10   <2e-16 ***
as.factor(id)119 -6.7727e+03  2.8696e-10 -2.3601e+13   <2e-16 ***
as.factor(id)120  5.6364e+03  6.6983e-10  8.4146e+12   <2e-16 ***
as.factor(id)121  1.2273e+04  7.5741e-10  1.6204e+13   <2e-16 ***
as.factor(id)122 -2.6364e+03  6.7799e-10 -3.8885e+12   <2e-16 ***
as.factor(id)123 -1.8182e+03  2.8576e-10 -6.3627e+12   <2e-16 ***
as.factor(id)124  1.3636e+03  6.7123e-10  2.0315e+12   <2e-16 ***
as.factor(id)125 -3.2955e+03  2.8468e-10 -1.1576e+13   <2e-16 ***
as.factor(id)126  3.6364e+03  6.6938e-10  5.4324e+12   <2e-16 ***
as.factor(id)127  3.8636e+04  7.6589e-10  5.0446e+13   <2e-16 ***
as.factor(id)128  1.4091e+04  6.7647e-10  2.0830e+13   <2e-16 ***
as.factor(id)129  1.8182e+03  2.8758e-10  6.3224e+12   <2e-16 ***
as.factor(id)130  3.1818e+03  6.7403e-10  4.7206e+12   <2e-16 ***
as.factor(id)131 -3.3636e+03  2.8829e-10 -1.1668e+13   <2e-16 ***
as.factor(id)132 -5.8182e+02  6.7911e-10 -8.5673e+11   <2e-16 ***
as.factor(id)133 -4.0818e+03  2.8752e-10 -1.4197e+13   <2e-16 ***
as.factor(id)134 -3.8636e+03  2.8724e-10 -1.3451e+13   <2e-16 ***
as.factor(id)135  1.9091e+04  6.7128e-10  2.8440e+13   <2e-16 ***
as.factor(id)136 -4.2727e+03  2.8799e-10 -1.4836e+13   <2e-16 ***
as.factor(id)137 -2.6364e+03  6.7409e-10 -3.9110e+12   <2e-16 ***
as.factor(id)138 -1.2727e+04  2.8602e-10 -4.4498e+13   <2e-16 ***
as.factor(id)139 -4.3233e+03  2.8959e-10 -1.4929e+13   <2e-16 ***
as.factor(id)140 -9.1364e+02  6.7109e-10 -1.3614e+12   <2e-16 ***
as.factor(id)141 -6.8182e+03  2.8852e-10 -2.3631e+13   <2e-16 ***
as.factor(id)142 -2.7273e+03  7.0852e-10 -3.8492e+12   <2e-16 ***
as.factor(id)143 -3.9227e+03  2.8873e-10 -1.3586e+13   <2e-16 ***
as.factor(id)144 -4.0682e+03  2.8665e-10 -1.4192e+13   <2e-16 ***
as.factor(id)145  1.3182e+04  6.6920e-10  1.9698e+13   <2e-16 ***
as.factor(id)146  6.6818e+04  6.8531e-10  9.7501e+13   <2e-16 ***
as.factor(id)147 -1.3182e+04  2.8723e-10 -4.5894e+13   <2e-16 ***
as.factor(id)148 -5.8636e+03  2.8676e-10 -2.0448e+13   <2e-16 ***
as.factor(id)149  3.9091e+03  6.7054e-10  5.8298e+12   <2e-16 ***
as.factor(id)150  4.5455e+02  6.6940e-10  6.7904e+11   <2e-16 ***
as.factor(id)151 -1.0455e+03  2.8519e-10 -3.6659e+12   <2e-16 ***
as.factor(id)152  6.3636e+03  2.8527e-10  2.2307e+13   <2e-16 ***
as.factor(id)153 -4.0909e+03  6.6940e-10 -6.1113e+12   <2e-16 ***
as.factor(id)154 -5.0001e+03  2.8882e-10 -1.7312e+13   <2e-16 ***
as.factor(id)155  1.4364e+04  6.7301e-10  2.1342e+13   <2e-16 ***
as.factor(id)156 -4.1591e+03  2.8748e-10 -1.4468e+13   <2e-16 ***
as.factor(id)157  3.2727e+04  6.7094e-10  4.8778e+13   <2e-16 ***
as.factor(id)158  6.3636e+02  6.6920e-10  9.5093e+11   <2e-16 ***
as.factor(id)159 -5.8636e+03  2.8982e-10 -2.0232e+13   <2e-16 ***
as.factor(id)162 -3.8182e+03  2.8524e-10 -1.3386e+13   <2e-16 ***
as.factor(id)163  3.4545e+03  6.7394e-10  5.1259e+12   <2e-16 ***
as.factor(id)164  1.1818e+03  6.7112e-10  1.7610e+12   <2e-16 ***
as.factor(id)165 -2.7727e+03  2.8535e-10 -9.7171e+12   <2e-16 ***
as.factor(id)166 -4.5291e+03  2.8450e-10 -1.5920e+13   <2e-16 ***
as.factor(id)167 -1.9091e+03  6.7137e-10 -2.8436e+12   <2e-16 ***
as.factor(id)168  3.0000e+03  6.7782e-10  4.4259e+12   <2e-16 ***
as.factor(id)169 -5.7000e+03  2.8625e-10 -1.9913e+13   <2e-16 ***
as.factor(id)171  9.0909e+02  2.8774e-10  3.1594e+12   <2e-16 ***
as.factor(id)172  9.5455e+03  6.7349e-10  1.4173e+13   <2e-16 ***
as.factor(id)174 -7.9545e+03  2.8647e-10 -2.7767e+13   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
stargazer::stargazer(value_model, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(value_model, cluster = df[ , as.factor(id)])))),out='value_model_table.html')
length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed

<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>white_value_diff</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>-2,727.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)73</td><td>8,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)74</td><td>-1,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)77</td><td>0.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)78</td><td>2,772.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)79</td><td>3,272.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)80</td><td>-6,818.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)81</td><td>636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)82</td><td>36,363.640<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)83</td><td>-175.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)84</td><td>-3,713.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)85</td><td>-3,000.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)86</td><td>-4,227.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)87</td><td>-12,727.270</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)88</td><td>16,363.640</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)89</td><td>1,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)90</td><td>1,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)91</td><td>-3,454.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)92</td><td>6,272.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)93</td><td>-3,409.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)94</td><td>33,181.820</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)95</td><td>-4,954.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)96</td><td>-3,090.909</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)97</td><td>3,954.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)98</td><td>-1,681.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)99</td><td>-2,318.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)100</td><td>-3,727.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)101</td><td>-7,000.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)102</td><td>-10,000.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)103</td><td>-5,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)104</td><td>-4,527.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)105</td><td>-4,472.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)106</td><td>25,454.540</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)107</td><td>-3,909.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)108</td><td>-2,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)109</td><td>-3,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)110</td><td>-2,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)111</td><td>5,454.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)112</td><td>-2,227.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)113</td><td>-19,181.820</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)114</td><td>-3,454.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)115</td><td>-6,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)116</td><td>-96,818.180<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)117</td><td>-5,400.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)118</td><td>-36.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)119</td><td>-6,772.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)120</td><td>5,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)121</td><td>12,272.730</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)122</td><td>-2,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)123</td><td>-1,818.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)124</td><td>1,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)125</td><td>-3,295.455</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)126</td><td>3,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)127</td><td>38,636.360<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)128</td><td>14,090.910</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)129</td><td>1,818.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)130</td><td>3,181.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)131</td><td>-3,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)132</td><td>-581.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)133</td><td>-4,081.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)134</td><td>-3,863.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)135</td><td>19,090.910</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)136</td><td>-4,272.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)137</td><td>-2,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)138</td><td>-12,727.270</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)139</td><td>-4,323.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)140</td><td>-913.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)141</td><td>-6,818.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)142</td><td>-2,727.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)143</td><td>-3,922.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)144</td><td>-4,068.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)145</td><td>13,181.820</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)146</td><td>66,818.180<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)147</td><td>-13,181.820</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)148</td><td>-5,863.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)149</td><td>3,909.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)150</td><td>454.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)151</td><td>-1,045.455</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)152</td><td>6,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)153</td><td>-4,090.909</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)154</td><td>-5,000.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)155</td><td>14,363.640</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)156</td><td>-4,159.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)157</td><td>32,727.270</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)158</td><td>636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)159</td><td>-5,863.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)162</td><td>-3,818.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)163</td><td>3,454.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)164</td><td>1,181.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)165</td><td>-2,772.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)166</td><td>-4,529.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)167</td><td>-1,909.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)168</td><td>3,000.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)169</td><td>-5,700.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)171</td><td>909.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)172</td><td>9,545.455</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)173</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)174</td><td>-7,954.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>4,090.909</td></tr>
<tr><td style="text-align:left"></td><td>(14,819.770)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>1,078</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.093</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.004</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>49,151.620 (df = 980)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>1.041 (df = 97; 980)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>
value_model_log = df[, lm(white_value_diff ~ treatment + as.factor(id))]
coeftest(value_model_log,  vcov = vcovCL(value_model_log, cluster = df[ , as.factor(id)]))

t test of coefficients:

                    Estimate  Std. Error     t value Pr(>|t|)    
(Intercept)       4.0909e+03  2.8437e-10  1.4386e+13   <2e-16 ***
treatment        -2.7273e+03  7.2710e-10 -3.7509e+12   <2e-16 ***
as.factor(id)73   8.6364e+03  6.6921e-10  1.2905e+13   <2e-16 ***
as.factor(id)74  -1.3636e+03  8.2448e-10 -1.6539e+12   <2e-16 ***
as.factor(id)77   2.7990e-10  2.9612e-10  9.4520e-01   0.3448    
as.factor(id)78   2.7727e+03  6.6921e-10  4.1433e+12   <2e-16 ***
as.factor(id)79   3.2727e+03  2.8733e-10  1.1390e+13   <2e-16 ***
as.factor(id)80  -6.8182e+03  2.8958e-10 -2.3545e+13   <2e-16 ***
as.factor(id)81   6.3636e+02  6.6995e-10  9.4986e+11   <2e-16 ***
as.factor(id)82   3.6364e+04  6.7448e-10  5.3914e+13   <2e-16 ***
as.factor(id)83  -1.7582e+02  2.8818e-10 -6.1011e+11   <2e-16 ***
as.factor(id)84  -3.7136e+03  2.8752e-10 -1.2916e+13   <2e-16 ***
as.factor(id)85  -3.0000e+03  2.8609e-10 -1.0486e+13   <2e-16 ***
as.factor(id)86  -4.2273e+03  2.8779e-10 -1.4689e+13   <2e-16 ***
as.factor(id)87  -1.2727e+04  8.4488e-10 -1.5064e+13   <2e-16 ***
as.factor(id)88   1.6364e+04  6.7028e-10  2.4413e+13   <2e-16 ***
as.factor(id)89   1.3636e+03  6.8034e-10  2.0044e+12   <2e-16 ***
as.factor(id)90   1.3636e+03  2.8766e-10  4.7405e+12   <2e-16 ***
as.factor(id)91  -3.4545e+03  2.8746e-10 -1.2018e+13   <2e-16 ***
as.factor(id)92   6.2727e+03  6.8728e-10  9.1269e+12   <2e-16 ***
as.factor(id)93  -3.4091e+03  2.8710e-10 -1.1874e+13   <2e-16 ***
as.factor(id)94   3.3182e+04  6.7329e-10  4.9283e+13   <2e-16 ***
as.factor(id)95  -4.9545e+03  2.9190e-10 -1.6974e+13   <2e-16 ***
as.factor(id)96  -3.0909e+03  2.8791e-10 -1.0736e+13   <2e-16 ***
as.factor(id)97   3.9545e+03  6.7220e-10  5.8830e+12   <2e-16 ***
as.factor(id)98  -1.6818e+03  2.8734e-10 -5.8531e+12   <2e-16 ***
as.factor(id)99  -2.3182e+03  6.7273e-10 -3.4459e+12   <2e-16 ***
as.factor(id)100 -3.7273e+03  2.8710e-10 -1.2982e+13   <2e-16 ***
as.factor(id)101 -7.0000e+03  2.8832e-10 -2.4279e+13   <2e-16 ***
as.factor(id)102 -1.0000e+04  6.6927e-10 -1.4942e+13   <2e-16 ***
as.factor(id)103 -5.6364e+03  6.7209e-10 -8.3863e+12   <2e-16 ***
as.factor(id)104 -4.5273e+03  2.8857e-10 -1.5688e+13   <2e-16 ***
as.factor(id)105 -4.4727e+03  2.8743e-10 -1.5561e+13   <2e-16 ***
as.factor(id)106  2.5455e+04  7.4645e-10  3.4101e+13   <2e-16 ***
as.factor(id)107 -3.9091e+03  2.8821e-10 -1.3563e+13   <2e-16 ***
as.factor(id)108 -2.3636e+03  6.7558e-10 -3.4987e+12   <2e-16 ***
as.factor(id)109 -3.6364e+03  6.7875e-10 -5.3575e+12   <2e-16 ***
as.factor(id)110 -2.6364e+03  6.6964e-10 -3.9370e+12   <2e-16 ***
as.factor(id)111  5.4545e+03  2.8733e-10  1.8984e+13   <2e-16 ***
as.factor(id)112 -2.2273e+03  6.6995e-10 -3.3245e+12   <2e-16 ***
as.factor(id)113 -1.9182e+04  2.8864e-10 -6.6456e+13   <2e-16 ***
as.factor(id)114 -3.4545e+03  2.8767e-10 -1.2009e+13   <2e-16 ***
as.factor(id)115 -6.3636e+03  2.8774e-10 -2.2116e+13   <2e-16 ***
as.factor(id)116 -9.6818e+04  6.6989e-10 -1.4453e+14   <2e-16 ***
as.factor(id)117 -5.4000e+03  2.8773e-10 -1.8768e+13   <2e-16 ***
as.factor(id)118 -3.6364e+01  6.6960e-10 -5.4307e+10   <2e-16 ***
as.factor(id)119 -6.7727e+03  2.8696e-10 -2.3601e+13   <2e-16 ***
as.factor(id)120  5.6364e+03  6.6983e-10  8.4146e+12   <2e-16 ***
as.factor(id)121  1.2273e+04  7.5741e-10  1.6204e+13   <2e-16 ***
as.factor(id)122 -2.6364e+03  6.7799e-10 -3.8885e+12   <2e-16 ***
as.factor(id)123 -1.8182e+03  2.8576e-10 -6.3627e+12   <2e-16 ***
as.factor(id)124  1.3636e+03  6.7123e-10  2.0315e+12   <2e-16 ***
as.factor(id)125 -3.2955e+03  2.8468e-10 -1.1576e+13   <2e-16 ***
as.factor(id)126  3.6364e+03  6.6938e-10  5.4324e+12   <2e-16 ***
as.factor(id)127  3.8636e+04  7.6589e-10  5.0446e+13   <2e-16 ***
as.factor(id)128  1.4091e+04  6.7647e-10  2.0830e+13   <2e-16 ***
as.factor(id)129  1.8182e+03  2.8758e-10  6.3224e+12   <2e-16 ***
as.factor(id)130  3.1818e+03  6.7403e-10  4.7206e+12   <2e-16 ***
as.factor(id)131 -3.3636e+03  2.8829e-10 -1.1668e+13   <2e-16 ***
as.factor(id)132 -5.8182e+02  6.7911e-10 -8.5673e+11   <2e-16 ***
as.factor(id)133 -4.0818e+03  2.8752e-10 -1.4197e+13   <2e-16 ***
as.factor(id)134 -3.8636e+03  2.8724e-10 -1.3451e+13   <2e-16 ***
as.factor(id)135  1.9091e+04  6.7128e-10  2.8440e+13   <2e-16 ***
as.factor(id)136 -4.2727e+03  2.8799e-10 -1.4836e+13   <2e-16 ***
as.factor(id)137 -2.6364e+03  6.7409e-10 -3.9110e+12   <2e-16 ***
as.factor(id)138 -1.2727e+04  2.8602e-10 -4.4498e+13   <2e-16 ***
as.factor(id)139 -4.3233e+03  2.8959e-10 -1.4929e+13   <2e-16 ***
as.factor(id)140 -9.1364e+02  6.7109e-10 -1.3614e+12   <2e-16 ***
as.factor(id)141 -6.8182e+03  2.8852e-10 -2.3631e+13   <2e-16 ***
as.factor(id)142 -2.7273e+03  7.0852e-10 -3.8492e+12   <2e-16 ***
as.factor(id)143 -3.9227e+03  2.8873e-10 -1.3586e+13   <2e-16 ***
as.factor(id)144 -4.0682e+03  2.8665e-10 -1.4192e+13   <2e-16 ***
as.factor(id)145  1.3182e+04  6.6920e-10  1.9698e+13   <2e-16 ***
as.factor(id)146  6.6818e+04  6.8531e-10  9.7501e+13   <2e-16 ***
as.factor(id)147 -1.3182e+04  2.8723e-10 -4.5894e+13   <2e-16 ***
as.factor(id)148 -5.8636e+03  2.8676e-10 -2.0448e+13   <2e-16 ***
as.factor(id)149  3.9091e+03  6.7054e-10  5.8298e+12   <2e-16 ***
as.factor(id)150  4.5455e+02  6.6940e-10  6.7904e+11   <2e-16 ***
as.factor(id)151 -1.0455e+03  2.8519e-10 -3.6659e+12   <2e-16 ***
as.factor(id)152  6.3636e+03  2.8527e-10  2.2307e+13   <2e-16 ***
as.factor(id)153 -4.0909e+03  6.6940e-10 -6.1113e+12   <2e-16 ***
as.factor(id)154 -5.0001e+03  2.8882e-10 -1.7312e+13   <2e-16 ***
as.factor(id)155  1.4364e+04  6.7301e-10  2.1342e+13   <2e-16 ***
as.factor(id)156 -4.1591e+03  2.8748e-10 -1.4468e+13   <2e-16 ***
as.factor(id)157  3.2727e+04  6.7094e-10  4.8778e+13   <2e-16 ***
as.factor(id)158  6.3636e+02  6.6920e-10  9.5093e+11   <2e-16 ***
as.factor(id)159 -5.8636e+03  2.8982e-10 -2.0232e+13   <2e-16 ***
as.factor(id)162 -3.8182e+03  2.8524e-10 -1.3386e+13   <2e-16 ***
as.factor(id)163  3.4545e+03  6.7394e-10  5.1259e+12   <2e-16 ***
as.factor(id)164  1.1818e+03  6.7112e-10  1.7610e+12   <2e-16 ***
as.factor(id)165 -2.7727e+03  2.8535e-10 -9.7171e+12   <2e-16 ***
as.factor(id)166 -4.5291e+03  2.8450e-10 -1.5920e+13   <2e-16 ***
as.factor(id)167 -1.9091e+03  6.7137e-10 -2.8436e+12   <2e-16 ***
as.factor(id)168  3.0000e+03  6.7782e-10  4.4259e+12   <2e-16 ***
as.factor(id)169 -5.7000e+03  2.8625e-10 -1.9913e+13   <2e-16 ***
as.factor(id)171  9.0909e+02  2.8774e-10  3.1594e+12   <2e-16 ***
as.factor(id)172  9.5455e+03  6.7349e-10  1.4173e+13   <2e-16 ***
as.factor(id)174 -7.9545e+03  2.8647e-10 -2.7767e+13   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
stargazer::stargazer(value_model_log, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(value_model_log, cluster = df[ , as.factor(id)])))),out='value_model_log_table.html')
length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed

<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>white_value_diff</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>-2,727.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)73</td><td>8,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)74</td><td>-1,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)77</td><td>0.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)78</td><td>2,772.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)79</td><td>3,272.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)80</td><td>-6,818.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)81</td><td>636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)82</td><td>36,363.640<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)83</td><td>-175.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)84</td><td>-3,713.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)85</td><td>-3,000.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)86</td><td>-4,227.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)87</td><td>-12,727.270</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)88</td><td>16,363.640</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)89</td><td>1,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)90</td><td>1,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)91</td><td>-3,454.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)92</td><td>6,272.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)93</td><td>-3,409.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)94</td><td>33,181.820</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)95</td><td>-4,954.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)96</td><td>-3,090.909</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)97</td><td>3,954.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)98</td><td>-1,681.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)99</td><td>-2,318.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)100</td><td>-3,727.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)101</td><td>-7,000.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)102</td><td>-10,000.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)103</td><td>-5,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)104</td><td>-4,527.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)105</td><td>-4,472.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)106</td><td>25,454.540</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)107</td><td>-3,909.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)108</td><td>-2,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)109</td><td>-3,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)110</td><td>-2,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)111</td><td>5,454.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)112</td><td>-2,227.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)113</td><td>-19,181.820</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)114</td><td>-3,454.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)115</td><td>-6,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)116</td><td>-96,818.180<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)117</td><td>-5,400.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)118</td><td>-36.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)119</td><td>-6,772.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)120</td><td>5,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)121</td><td>12,272.730</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)122</td><td>-2,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)123</td><td>-1,818.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)124</td><td>1,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)125</td><td>-3,295.455</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)126</td><td>3,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)127</td><td>38,636.360<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)128</td><td>14,090.910</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)129</td><td>1,818.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)130</td><td>3,181.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)131</td><td>-3,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)132</td><td>-581.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)133</td><td>-4,081.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)134</td><td>-3,863.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)135</td><td>19,090.910</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)136</td><td>-4,272.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)137</td><td>-2,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)138</td><td>-12,727.270</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)139</td><td>-4,323.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)140</td><td>-913.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)141</td><td>-6,818.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)142</td><td>-2,727.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)143</td><td>-3,922.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)144</td><td>-4,068.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)145</td><td>13,181.820</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)146</td><td>66,818.180<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)147</td><td>-13,181.820</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)148</td><td>-5,863.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)149</td><td>3,909.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)150</td><td>454.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)151</td><td>-1,045.455</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)152</td><td>6,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)153</td><td>-4,090.909</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)154</td><td>-5,000.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)155</td><td>14,363.640</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)156</td><td>-4,159.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)157</td><td>32,727.270</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)158</td><td>636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)159</td><td>-5,863.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)162</td><td>-3,818.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)163</td><td>3,454.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)164</td><td>1,181.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)165</td><td>-2,772.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)166</td><td>-4,529.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)167</td><td>-1,909.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)168</td><td>3,000.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)169</td><td>-5,700.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)171</td><td>909.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)172</td><td>9,545.455</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)173</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)174</td><td>-7,954.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>4,090.909</td></tr>
<tr><td style="text-align:left"></td><td>(14,819.770)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>1,078</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.093</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.004</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>49,151.620 (df = 980)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>1.041 (df = 97; 980)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>
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